metadata
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: mobilebert_sa_GLUE_Experiment_logit_kd_data_aug_sst2
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE SST2
type: glue
args: sst2
metrics:
- name: Accuracy
type: accuracy
value: 0.8600917431192661
mobilebert_sa_GLUE_Experiment_logit_kd_data_aug_sst2
This model is a fine-tuned version of google/mobilebert-uncased on the GLUE SST2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.4834
- Accuracy: 0.8601
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4923 | 1.0 | 8748 | 0.5804 | 0.8314 |
| 0.3226 | 2.0 | 17496 | 0.5184 | 0.8475 |
| 0.2725 | 3.0 | 26244 | 0.5341 | 0.8509 |
| 0.2453 | 4.0 | 34992 | 0.4892 | 0.8521 |
| 0.2278 | 5.0 | 43740 | 0.4834 | 0.8601 |
| 0.2149 | 6.0 | 52488 | 0.4980 | 0.8624 |
| 0.2047 | 7.0 | 61236 | 0.5031 | 0.8532 |
| 0.1963 | 8.0 | 69984 | 0.5011 | 0.8509 |
| 0.1893 | 9.0 | 78732 | 0.4899 | 0.8567 |
| 0.1835 | 10.0 | 87480 | 0.4965 | 0.8589 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.14.0a0+410ce96
- Datasets 2.9.0
- Tokenizers 0.13.2